{"id":"W4389074614","doi":"10.1159/000535153","title":"Acknowledgment to Reviewers","year":2023,"lang":"en","type":"article","venue":"Gynecologic and Obstetric Investigation","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01561094,0.001856874,0.001683782,0.006225633,0.004054823,0.01557218,0.003959871,0.005435572,0.3014963],"category_scores_gemma":[0.151917,0.000734986,0.001015587,0.003584633,0.001706856,0.007255747,0.006511965,0.006907096,0.2041531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00532195,"about_ca_system_score_gemma":0.01336785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379667,"about_ca_topic_score_gemma":0.005221119,"domain_scores_codex":[0.9791185,0.005848836,0.00201523,0.002916465,0.008732218,0.001368778],"domain_scores_gemma":[0.8433826,0.01448115,0.004993517,0.007617669,0.1170876,0.01243753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001310764,0.000005571213,0.00004568457,0.00009870136,0.00000250077,0.00003712115,0.0001476282,0.000008694168,0.0000310194,0.001162346,0.9880337,0.01041393],"study_design_scores_gemma":[0.000006251936,0.000005424167,0.0001008235,0.0001807467,0.000003412901,0.00008010343,0.0002274129,0.00001577655,0.00002277737,0.000501428,0.9988487,0.000007111374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004414801,0.01241513,0.003021495,0.2173,0.6373299,0.000759492,0.002267541,0.001555913,0.1249091],"genre_scores_gemma":[0.008145209,0.01224138,0.005375687,0.1399597,0.1782258,0.001364262,0.00295309,0.002413328,0.6493216],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3014963,"threshold_uncertainty_score":0.9963308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07254455099488641,"score_gpt":0.2259947837066658,"score_spread":0.1534502327117793,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}